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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 14402
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    Explanations

    phrases related to providing guidance or instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to guides or instructional materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     concess
    -0.72
     Mellon
    -0.67
     ILCS
    -0.67
    asted
    -0.62
    ategory
    -0.62
    enos
    -0.62
     forfeit
    -0.60
     spect
    -0.60
    Rated
    -0.60
    urrent
    -0.60
    POSITIVE LOGITS
    book
    1.45
    books
    1.38
    posts
    1.19
    guide
    0.99
    BOOK
    0.91
    ways
    0.87
    voy
    0.84
    kit
    0.84
    sym
    0.83
     guide
    0.81
    Activations Density 0.040%

    No Known Activations